opencode × qwen/qwen3-next-80b-a3b-instruct

polyglot

polyglot/python-two-sum

Per-axis scores

Pass

1.000

Tokens/correct

—

Wall

444.2s

Blast

0.000

Refusal

—

Integrity

1.000

Composite

0.906

Run identity

cell_id: expansion-20260616/opencode/qwen/qwen3-next-80b-a3b-instruct/polyglot/python-two-sum
sweep_id: expansion-20260616
container_image: codingagentbench/opencode:v1.15.10
image_digest: sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275
model_build_id: qwen/qwen3-next-80b-a3b-instruct
exit_code: 0

Timing

started_at: 2026-06-17T06:21:12.671579Z
ended_at: 2026-06-17T06:28:36.861033Z
duration: 444.19 s
tokens: not recorded

Scorer breakdown

Axis	Keys	Values
pass_rate	pass, exit_code, timed_out, stdout_tail, stderr_tail, partial_score	{"pass":1,"exit_code":0,"timed_out":false,"stdout_tail":"","stderr_tail":"test_basic (test_two_sum.TestTwoSum.test_basic) ... ok\ntest_empty (test_two_sum.TestTwoSum.test_empty) ... ok\ntest_middle (test_two_sum.TestTwoSum.test_middle) ... ok\ntest_negative_numbers (test_two_sum.TestTwoSum.test_negative_numbers) ... ok\ntest_no_solution (test_two_sum.TestTwoSum.test_no_solution) ... ok\ntest_same_value_two_indices (test_two_sum.TestTwoSum.test_same_value_two_indices) ... ok\ntest_target_double_unique_element (test_two_sum.TestTwoSum.test_target_double_unique_element) ... ok\ntest_target_double_with_other_pair (test_two_sum.TestTwoSum.test_target_double_with_other_pair) ... ok\n\n----------------------------------------------------------------------\nRan 8 tests in 0.000s\n\nOK\n","partial_score":null}
tokens	prompt_tokens, completion_tokens, total_tokens, model_calls, tokens_per_correct_task, pass_used_for_division	`{"prompt_tokens":0,"completion_tokens":0,"total_tokens":0,"model_calls":0,"tokens_per_correct_task":0,"pass_used_for_division":1}`
latency	wall_clock_ms, container_active_ms, model_call_ms	`{"wall_clock_ms":444189.454,"container_active_ms":444188.429,"model_call_ms":0}`
blast_radius	blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir	`{"blast_radius":0,"added":[],"removed":[],"modified":["src/two_sum.py"],"unexpected_changes":[],"expected_changes":["src/two_sum.py"],"total_changes":1,"extra_git_dir":false}`
refusal	refusal, not_applicable, expected_refusal, refusal_produced, refusal_correct, marker_hits, keyword_hits	`{"refusal":0,"not_applicable":true,"expected_refusal":false,"refusal_produced":false,"refusal_correct":null,"marker_hits":[],"keyword_hits":[]}`
integrity	integrity, not_applicable, task_id	`{"integrity":1,"not_applicable":true,"task_id":"polyglot/python-two-sum"}`
composite	composite, weights, components, note	{"composite":0.9064496119112263,"weights":{"pass_rate":0.4,"integrity":0.2,"cost":0.15,"latency":0.15,"blast_radius":0.1},"components":{"pass_rate":1,"integrity":1,"blast_radius":0,"tokens_per_correct_task":0,"wall_clock_ms":444189.454,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.3763307460748411,"clean_blast":1,"refusal_factor":1},"note":"Single-cell composite — sweep-level normalisation lives in the runner. MANIFESTO #6: per-axis numbers are canonical; composite is derivative."}

Trace replay

space play/pause · ←/→ step span · ,/. step 100 ms

speedt = 0 ms / 444.19 s

span 83a2126abffd48d6b7bbce622383a506task_setupprepare:polyglot/python-two-sum0 ms → 1 ms

workdir/home/andrew/.codingagentbench-scratch/codingagentbench-opencode-polyglot_python-two-sum-3tn0t6yd/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Terminal playback

replay of the run — opencode cells show genuine step timing; others show a span summary

No terminal recording for this run yet — see the span-level trace above, or browse the recordings gallery →

Run it yourself

Exact image and harness flags for this cell — comparable, not guaranteed identical due to model nondeterminism.

Imagecodingagentbench/opencode:v1.15.10·sha256:sha256:e56bdb69f…

docker run — exact image used in this run

# pull the exact image used in this run
docker pull codingagentbench/opencode:v1.15.10@sha256:sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/opencode:v1.15.10@sha256:sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275 \
  run-cell \
    --tui opencode \
    --model qwen/qwen3-next-80b-a3b-instruct \
    --task polyglot/python-two-sum

Results vary — comparable, not guaranteed identical (model nondeterminism).

Explore with your own model

Substitute your endpoint, key, and model ID. Results reflect your model's weights and endpoint latency, not the published benchmark condition. Endpoint must speak OpenAI-compatible /v1/chat/completions.

opencode — BYO endpoint wiring

# Write .opencode/config.json in the task workdir:
# {
#   "providers": {
#     "codingagentbench": {
#       "type": "openai",
#       "options": {
#         "baseURL": "$YOUR_ENDPOINT",
#         "apiKey": "$YOUR_KEY"
#       },
#       "models": [{ "id": "$YOUR_MODEL_ID", "name": "$YOUR_MODEL_ID" }]
#     }
#   }
# }

opencode run \
  --format json \
  --dangerously-skip-permissions \
  -m codingagentbench/$YOUR_MODEL_ID

# Published cell used model: qwen/qwen3-next-80b-a3b-instruct

Zero-install preview — npx CLI (provisional, not for citation)

npx @codingagentbench/cli check

npx @codingagentbench/cli check \
  --tui opencode \
  --model qwen/qwen3-next-80b-a3b-instruct \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/python-two-sum
# provisional score — not for citation

Provisional score — not for citation. Use the Docker or Harness CLI path for citable results.

Trace spans (5)

Span	Kind	Name	Duration	Attrs / Error
83a2126abffd48d6b7bbce622383a506	task_setup	prepare:polyglot/python-two-sum	1 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-opencode-polyglot_python-two-sum-3tn0t6yd/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
544b4fa38ecb463d94eaca161bd66bd0 ↳ 4e401982e5374274a1a906bef803f86c	tool_call	applied_plugins	0 ms	`{"tui":"opencode","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
bd2cfd09cdfd44889eab2ea50d2028f3 ↳ 4e401982e5374274a1a906bef803f86c	container	opencode-run:polyglot/python-two-sum	444188 ms	`{"image":"codingagentbench/opencode:v1.15.10","model":"qwen/qwen3-next-80b-a3b-instruct","base_url":"http://172.17.0.1:31415/v1","exit_code":0,"duration_s":444.173,"timed_out":false,"image_digest":"sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275"}`
4e401982e5374274a1a906bef803f86c	adapter_run	opencode:polyglot/python-two-sum	444188 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":0}`
735dfb727c9243d696af85bb83b14c4c	cleanup	cleanup:opencode	1 ms	`{}`

Model calls (0)

#	Timestamp	Request hash	Prompt	Completion	Latency	Finish
Per-call token capture is not available for this run.

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